<data>
<row _id="1"><Sector>Financial and legal services</Sector><Higher>8220</Higher><Secondary>4170</Secondary><Other>40</Other><None>270</None><Higher (%)>65</Higher (%)><Secondary (%)>33</Secondary (%)><Other (%)>0</Other (%)><None (%)>2</None (%)></row>
<row _id="2"><Sector>Public sector</Sector><Higher>1520</Higher><Secondary>860</Secondary><Other>0</Other><None>80</None><Higher (%)>62</Higher (%)><Secondary (%)>35</Secondary (%)><Other (%)>0</Other (%)><None (%)>3</None (%)></row>
<row _id="3"><Sector>Information and communication</Sector><Higher>1100</Higher><Secondary>620</Secondary><Other>0</Other><None>70</None><Higher (%)>61</Higher (%)><Secondary (%)>35</Secondary (%)><Other (%)>0</Other (%)><None (%)>4</None (%)></row>
<row _id="4"><Sector>Education, health and other services</Sector><Higher>6580</Higher><Secondary>4610</Secondary><Other>60</Other><None>1120</None><Higher (%)>53</Higher (%)><Secondary (%)>37</Secondary (%)><Other (%)>1</Other (%)><None (%)>9</None (%)></row>
<row _id="5"><Sector>Miscellaneous business activities</Sector><Higher>2260</Higher><Secondary>1640</Secondary><Other>50</Other><None>1130</None><Higher (%)>44</Higher (%)><Secondary (%)>33</Secondary (%)><Other (%)>1</Other (%)><None (%)>22</None (%)></row>
<row _id="6"><Sector>Utilities and waste</Sector><Higher>240</Higher><Secondary>370</Secondary><Other>0</Other><None>140</None><Higher (%)>32</Higher (%)><Secondary (%)>49</Secondary (%)><Other (%)>0</Other (%)><None (%)>19</None (%)></row>
<row _id="7"><Sector>Manufacturing</Sector><Higher>240</Higher><Secondary>380</Secondary><Other>0</Other><None>150</None><Higher (%)>32</Higher (%)><Secondary (%)>49</Secondary (%)><Other (%)>0</Other (%)><None (%)>19</None (%)></row>
<row _id="8"><Sector>Transport and storage</Sector><Higher>520</Higher><Secondary>830</Secondary><Other>20</Other><None>370</None><Higher (%)>30</Higher (%)><Secondary (%)>48</Secondary (%)><Other (%)>1</Other (%)><None (%)>21</None (%)></row>
<row _id="9"><Sector>Hotels, restaurants and bars</Sector><Higher>1030</Higher><Secondary>1620</Secondary><Other>50</Other><None>900</None><Higher (%)>29</Higher (%)><Secondary (%)>45</Secondary (%)><Other (%)>1</Other (%)><None (%)>25</None (%)></row>
<row _id="10"><Sector>Wholesale and retail</Sector><Higher>1700</Higher><Secondary>3280</Secondary><Other>60</Other><None>1410</None><Higher (%)>26</Higher (%)><Secondary (%)>51</Secondary (%)><Other (%)>1</Other (%)><None (%)>22</None (%)></row>
<row _id="11"><Sector>Construction and Quarrying</Sector><Higher>1280</Higher><Secondary>3180</Secondary><Other>60</Other><None>1650</None><Higher (%)>21</Higher (%)><Secondary (%)>51</Secondary (%)><Other (%)>1</Other (%)><None (%)>27</None (%)></row>
<row _id="12"><Sector>Agriculture and fishing</Sector><Higher>190</Higher><Secondary>500</Secondary><Other>30</Other><None>300</None><Higher (%)>19</Higher (%)><Secondary (%)>49</Secondary (%)><Other (%)>3</Other (%)><None (%)>29</None (%)></row>
<row _id="13"><Sector>All</Sector><Higher>24870</Higher><Secondary>22060</Secondary><Other>390</Other><None>7590</None><Higher (%)>45</Higher (%)><Secondary (%)>40</Secondary (%)><Other (%)>1</Other (%)><None (%)>14</None (%)></row>
</data>
